validate: Validate a Solution

In optiSolve: Linear, Quadratic, and Rational Optimization

Description

Validate a solution of an optimization problem.

Usage

validate(op, sol, quiet=FALSE, tol=0.0001)

Arguments

op	The constrained optimization problem defined with function cop.
sol	The solution of the optimization problem obtained with function solvecop.
quiet	Logical variable indicating whether output to console should be switched off.
tol	The tolerance. A constraint is considered fulfilled even if the value exceeds (falls below) the thresshold value by tol.

Details

Validate a solution of an optimization problem by checking if the constraints are fulfilled.

Values and bounds of the constraints are printed.

Value

A list of class copValidation with components:

summary	Data frame containing one row for each constraint with the value of the constraint in column Val, the bound for the constraint in column Bound, and column OK states if the constraint is fulfilled. The value of the objective function is shown in the first row. Additional rows contain the values of disabled constraints.
info	Data frame with component valid indicating if all constraints are fulfilled, component solver containing the name of the solver used for optimization, and component status describing the solution as reported by the solver.
var	Data frame with the values of the objective function and constraints at the optimum.
obj.fun	Named numeric value with value and name of the objective function at the optimum.

Author(s)

Robin Wellmann

See Also

The main function for solving constrained programming problems is solvecop.

optiSolve documentation built on Oct. 13, 2021, 5:08 p.m.